Using neural networks for a discriminant speech recognition system
Daniela Șchiopu, Mihaela M. Oprea · 2014
The paper presents a case study of using neural networks for a discriminant automatic speech recognition system for the Romanian language. The uttered words by several speakers which the system must recognize can be commands for a robot. The study aims to examine the performance of the system by minimizing the error.